addrbookFor publishers
← The evidence ledger

Evidence row 116080

Observed , by baseline/1.

Kind
listing
About
source_record x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-aggregate-scores
Recorded
Previous row
None: the first of its kind about this subject
Body SHA-256
a069941be160941177739d99a8dd4e4dfecfba5a3956957e3d9bbd68d087786e
Leaf
0x0b1fe30afd9e57f8eaafb1c2af2132edb10021948bb78736f3674a1c7b6bcb4d

What was observed

{
  "endpoints": [
    [
      "x402",
      "https://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-aggregate-scores"
    ]
  ],
  "name": "market.datapackvibe.com/x402/assistant-sector-ml-language-routing-aggregate-scores",
  "owner_address": "0x8bc2aecdd86097f74a1a5fa17764108d9a683c8c",
  "raw": {
    "accepts": [
      {
        "amount": "10000",
        "asset": "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913",
        "extra": {
          "name": "USD Coin",
          "version": "2"
        },
        "maxTimeoutSeconds": 300,
        "network": "eip155:8453",
        "payTo": "0x8bc2AECdD86097F74a1a5fa17764108D9a683C8C",
        "scheme": "exact"
      }
    ],
    "description": "Language routing - Macro micro and weighted scores: Macro micro and weighted scores for Language routing. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded macro micro and weighted scores deliverable.",
    "extensions": {
      "bazaar": {
        "info": {
          "input": {
            "body": {
              "records": [
                {
                  "actual": "english",
                  "id": "example-0-0",
                  "predicted": "english",
                  "text": "english sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "english",
                  "id": "example-0-1",
                  "predicted": "english",
                  "text": "english sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "english",
                  "id": "example-0-2",
                  "predicted": "english",
                  "text": "english sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "french",
                  "id": "example-1-0",
                  "predicted": "french",
                  "text": "french sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "french",
                  "id": "example-1-1",
                  "predicted": "french",
                  "text": "french sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "french",
                  "id": "example-1-2",
                  "predicted": "french",
                  "text": "french sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "spanish",
                  "id": "example-2-0",
                  "predicted": "spanish",
                  "text": "spanish sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "spanish",
                  "id": "example-2-1",
                  "predicted": "spanish",
                  "text": "spanish sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "spanish",
                  "id": "example-2-2",
                  "predicted": "spanish",
                  "text": "spanish sample document number 2 for this supplied dataset."
                },
                {
                  "actual": "other",
                  "id": "example-3-0",
                  "predicted": "other",
                  "text": "other sample document number 0 for this supplied dataset."
                },
                {
                  "actual": "other",
                  "id": "example-3-1",
                  "predicted": "other",
                  "text": "other sample document number 1 for this supplied dataset."
                },
                {
                  "actual": "other",
                  "id": "example-3-2",
                  "predicted": "other",
                  "text": "other sample document number 2 for this supplied dataset."
                }
              ]
            },
            "bodyType": "json",
            "method": "POST",
            "type": "http"
          },
          "output": {
            "example": {
              "files": [],
              "order_id": "ord_example",
              "result": {
                "completed": true,
                "workflow": "sector-ml-language-routing-aggregate-scores"
              },
              "sku": "assistant-sector-ml-language-routing-aggregate-scores",
              "status": "delivered"
            },
            "type": "json"
          }
        },
        "schema": {
          "$schema": "https://json-schema.org/draft/2020-12/schema",
          "properties": {
            "input": {
              "additionalProperties": false,
              "properties": {
                "body": {
                  "additionalProperties": false,
                  "properties": {
                    "records": {
                      "default": [
                        {
                          "actual": "english",
                          "id": "example-0-0",
                          "predicted": "english",
                          "text": "english sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "english",
                          "id": "example-0-1",
                          "predicted": "english",
                          "text": "english sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "english",
                          "id": "example-0-2",
                          "predicted": "english",
                          "text": "english sample document number 2 for this supplied dataset."
                        },
                        {
                          "actual": "french",
                          "id": "example-1-0",
                          "predicted": "french",
                          "text": "french sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "french",
                          "id": "example-1-1",
                          "predicted": "french",
                          "text": "french sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "french",
                          "id": "example-1-2",
                          "predicted": "french",
                          "text": "french sample document number 2 for this supplied dataset."
                        },
                        {
                          "actual": "spanish",
                          "id": "example-2-0",
                          "predicted": "spanish",
                          "text": "spanish sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "spanish",
                          "id": "example-2-1",
                          "predicted": "spanish",
                          "text": "spanish sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "spanish",
                          "id": "example-2-2",
                          "predicted": "spanish",
                          "text": "spanish sample document number 2 for this supplied dataset."
                        },
                        {
                          "actual": "other",
                          "id": "example-3-0",
                          "predicted": "other",
                          "text": "other sample document number 0 for this supplied dataset."
                        },
                        {
                          "actual": "other",
                          "id": "example-3-1",
                          "predicted": "other",
                          "text": "other sample document number 1 for this supplied dataset."
                        },
                        {
                          "actual": "other",
                          "id": "example-3-2",
                          "predicted": "other",
                          "text": "other sample document number 2 for this supplied dataset."
                        }
                      ],
                      "items": {
                        "additionalProperties": false,
                        "properties": {
                          "actual": {
                            "enum": [
                              "english",
                              "french",
                              "spanish",
                              "other"
                            ],
                            "type": "string"
                          },
                          "id": {
                            "default": "",
                            "maxLength": 80,
                            "minLength": 1,
                            "type": "string"
                          },
                          "predicted": {
                            "enum": [
                              "english",
                              "french",
                              "spanish",
                              "other"
                            ],
                            "type": "string"
                          },
                          "text": {
                            "default": "",
                            "maxLength": 1000,
                            "type": "string"
                          }
                        },
                        "required": [
                          "id",
                          "text",
                          "actual",
                          "predicted"
                        ],
                        "type": "object"
                      },
                      "maxItems": 200,
                      "minItems": 2,
                      "type": "array"
                    }
                  },
                  "required": [
                    "records"
                  ],
                  "type": "object"
                },
                "bodyType": {
                  "enum": [
                    "json",
                    "form-data",
                    "text"
                  ],
                  "type": "string"
                },
                "method": {
                  "enum": [
                    "POST"
                  ],
                  "type": "string"
                },
                "type": {
                  "const": "http",
                  "type": "string"
                }
              },
              "required": [
                "type",
                "method",
                "bodyType",
                "body"
              ],
              "type": "object"
            },
            "output": {
              "properties": {
                "example": {
                  "type": "object"
                },
                "type": {
                  "type": "string"
                }
              },
              "required": [
                "type"
              ],
              "type": "object"
            }
          },
          "required": [
            "input"
          ],
          "type": "object"
        }
      }
    },
    "lastUpdated": "2026-10-25T22:20:26.809Z",
    "quality": {
      "l30DaysTotalCalls": 2,
      "l30DaysUniquePayers": 1,
      "lastCalledAt": "2026-10-25T22:20:25.982Z"
    },
    "resource": "https://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-aggregate-scores",
    "tags": [
      "ai",
      "sector-ml",
      "workflow"
    ],
    "type": "http",
    "x402Version": 2
  },
  "source": "x402_bazaar",
  "summary": "Language routing - Macro micro and weighted scores: Macro micro and weighted scores for Language routing. Up to 200 supplied labelled text records. Local dataset tools, evaluation and small naive-Bayes baselines; no hosted model or foundation-model training. One of 25 profiles or calculations across 20 shared operations in this sector. 0.01 USDC includes one bounded macro micro and weighted scores deliverable."
}

What the leaf hashes

{"body":"a069941be160941177739d99a8dd4e4dfecfba5a3956957e3d9bbd68d087786e","id":116080,"kind":"listing","method":"baseline/1","observed_us":1793025609139245,"prev":null,"subject":"x402_bazaar:https://market.datapackvibe.com/x402/assistant-sector-ml-language-routing-aggregate-scores","subject_kind":"source_record"}

Proof

Fold these into the leaf in order, hashing each sorted pair with keccak256, to reach the root of (296695 rows).

  1. 0x0b20149b370b98b6ecfda93b1d4728fc9fabed3703965f91945fc30eaa51ef82
  2. 0x826fd67f7481c8153d8de2ddc5283bf6eba0e8f062fbaaee7c86016143c351bf
  3. 0x80752a8d75115394596204e9d5a63fbc26c6cbdc6934fe836640bf31a461b446
  4. 0xd438069bd8cf57fce8395dbc73795d5dba9348a778aa1ed3d121c3be49234f32
  5. 0x2081a070688fac52209f02159ac87bb8fa57f4afca556a4fed41bcc6472f8eb3
  6. 0x699271fc920f3fbe8573f9816d402cb37eb76d1e3b76877e5b8b3c250a2e3dc8
  7. 0xe5168bb029e7039e7e1b658d48bcb1c8206f6e56ef5a8c623c5290537fc09851
  8. 0xf2bb748b65a0f8d9d4318b0457a0bf11275e852137c7d5ce47d62db2c147a318
  9. 0x7e09408fcc0d9b90670693a070d6ec897d9a3cf600d3c8bce04013cec74d1903
  10. 0x96dc6bd64fe78dd85e63b2a795828d2feea188bc55943b4d6ab1449dca715971
  11. 0xb590404cb9438c769f672be0f0089b46b380374a2b3728911a35efd8d94b6a83
  12. 0x0295c7c2280f85143f6ea027ec5cab1cda783eeef5bca0accb9aea607c5aa3c2
  13. 0x5aefcf9e3d86e125861c0d490079969110eea8fc901ec61531bba10bb58258a1
  14. 0xa96bb9408ce00a0d40ddaba8736257dfce76d5478b131d69db1afdf8a824312b
  15. 0x7ddc2fead128357f881b63e6c7c26d7fbbb84fca6c7c8e0bbfe386de86ca8d39
  16. 0xc6a4d7899a0f442958e26505011190b7cff2483611c1b94eba9043e0ba9ac36e
  17. 0x8c756542e482157df0c36464d75c937b845e4423dbbcfad08f0cf8d5a16b9a13
  18. 0x20704208aa6923d6b2450ef74ede87a6e0265d46447926038fe9506e9e154b2d
  19. 0x9b9ce5b74b9bab5121612ef6b64920a8d453cbf311096a423eef9702747e868a
Day root
0xf43e8dcc3d451a4788b26be904c55e8c4c0fa75c9666796c51db38d37e2c0df8
Chained
0x702d5ac508f08b0d1accf36af25822d8e5660367494edd17a642fb61e158a57a
Published
On Arc Testnet, block 69251483: 0x495162f8936e19f0039918feebe6c307f327cd6bf8c37219620b1970041fa9ae

How to check it · This row as JSON